Chronic pain (CP) is a prevalent problem, and more than half of patients with CP have sleep disorders. CP comorbidity with sleep disorders imposes immense suffering and seriously affects the patient’s quality of life, which is a challenging issue encountered by clinicians. Although the reciprocal interactions between pain and sleep have been studied to some degree, there is still a lack of awareness and comprehensive description of CP comorbidity with sleep disorders. In this narrative review article, we summarize the current knowledge about the present estimates of the prevalence of comorbid sleep disorders in CP patients, sleep detection methods, sleep characterization in CP, and the effect of sleep disorders on CP and current therapies. We also summarize current knowledge of the neurochemical mechanisms of CP comorbidity with sleep disorders. In conclusion, insufficient attention has been paid to the role of sleep disorders in CP patients, and CP patients should be screened for sleep disorders in the clinic. Special attention should be given to a possible risk of drug–drug interaction when using two types of drugs targeting pain and sleep simultaneously. The current insight into the neurobiological mechanisms underlying CP comorbidity with sleep disorders is still rather limited.

/pdf/sleep-disorders-in-chronic-pain-and-its-neurochemical-2pcwvu1m.pdf

Sleep disorders in chronic pain and its neurochemical mechanisms: a narrative review

The primary aim was to estimate the pooled mean score of quality of life (QoL) (total, mental and physical health components) among patients with Restless Legs Syndrome (RLS). Secondary aims were to assess: (I) QoL differences for RLS vs. control groups, (II) heterogeneity and possible sources; and (III) moderating variables.Studies identified in PubMed, Scopus, Web of Science, and ProQuest between January 2000 and December 2022 were included. Methodological quality was assessed with Newcastle Ottawa Scale. The protocol was pre-registered (PROSPERO, CRD42023387318).Twenty-seven studies (20121 participants, 12 countries) were included. The corrected pooled estimated mean score of QoL was 47.92 (27 studies, CI 95 %: 43.11 to 52.72, range 0-100, i.e., low-high QoL) and was marginally affected by publication year (increased 0.89 by each year, p = 0.12). The corrected pooled estimated mean score of the mental health component was 47.32 (17 studies, 95 % CI: 43.12 to 51.51, range 0-100) and influenced by RLS instrument (decreased with recent versions, p = 0.05). The corrected pooled estimated mean score of the physical health component was 39.08 (17 studies, 95 % CI: 33.05 to 45.10, range 0-100), with no statistically significant moderator. The pooled estimated QoL scores were statistically significantly lower in RLS patients compared to control groups with standardized mean difference (SMD) of -0.78, -0.57 and -0.50 respectively for overall QoL (24 studies), physical and mental health components (14 studies). Total QoL SMD was affected by proportion of women.Low QoL was revealed among RLS patients, which was statistically significantly reduced compared to control groups. 

Quality of life among patients with restless legs syndrome: A systematic review and meta-analysis

ABSTRACT Guided and self-guided internet-delivered cognitive-behavioural therapy (ICBT) has been demonstrated to be efficacious in the treatment of anxiety and related disorders (ARDs). The aim of the current study was to examine the efficacy of guided and self-guided ICBT for adults diagnosed with ARDs using a meta-analytic synthesis of randomised controlled trials directly comparing the two treatment approaches. Eleven studies (n = 1414) were included. There was a small, but significantly pooled between-group effect size at post-treatment (g = 0.16; 95% CI: 0.03–0.28) favouring guided ICBT. At follow-up, the between-group effect size was small and non-significant (g = 0.13; 95% CI: −0.04–0.30). Gender distribution moderated outcome at post-treatment (higher proportions of females resulted in a smaller between-group effect size). Type of support provided in the guided-treatment arm moderated treatment outcome at follow-up (those receiving synchronous support had a larger between-group effect size). Amount of guidance in the guided-treatment arm moderated effect sizes at post-treatment and follow-up (more guidance leading to larger between-group effect sizes). Automated reminders, disorder type, and treatment length did not moderate outcomes. The results suggest that guided and self-guided ICBT interventions result in similar outcomes, however guided interventions may be marginally more effective in the short term.

Guided versus self-guided internet delivered cognitive behavioural therapy for diagnosed anxiety and related disorders: a preliminary meta-analysis

.................................................................................................... 1 SVENSK SAMMANFATTNING ................................................................... 2 LIST OF PAPERS .......................................................................................... 4 ABBREVIATIONS ......................................................................................... 5 INTRODUCTION .......................................................................................... 6 Interdisciplinary pain rehabilitation programs .................................... 6 The biopsychosocial model ....................................................................... 7 Pain self-management ............................................................................... 9 Acceptance and commitment therapy ...................................................... 10 Internet-delivered Acceptance and commitment therapy ................... 11 Delivery in specialist pain care ............................................................... 12 Patients’ experiences ............................................................................... 13 Implementation in interdisciplinary pain rehabilitation programs ........ 17 Aims ...................................................................................................... 20 General aim ............................................................................................. 20 Study aims ................................................................................................ 20 METHODS .................................................................................................. 21 Study I ...................................................................................................... 21 Study II..................................................................................................... 21 Study III ................................................................................................... 21 Study IV ................................................................................................... 21 Participants ........................................................................................... 22 Study I ...................................................................................................... 22 Study II..................................................................................................... 23 Study III ................................................................................................... 23 Treatment components ........................................................................ 23 Study I ...................................................................................................... 23 Study II..................................................................................................... 24

http://liu.diva-portal.org/smash/get/diva2:1749750/FULLTEXT01

Internet-Delivered Acceptance and Commitment Therapy for Chronic Pain : Feasibility, patients’ experiences and implementation process

The effects and experiences of internet-delivered cognitive behavioural therapy : The perspectives of patients with non-cardiac chest pain and healthcare professionals in the emergency and cardiac care

https://doi.org/10.1016/j.invent.2022.100587

Guided internet-based cognitive-behavioral therapy for patients with chronic pain: A meta-analytic review

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Guided internet-based cognitive-behavioral therapy for patients with chronic pain: A meta-analytic review